Given \( A = \begin{pmatrix} 1 & 2 \\ 0 & 1 \end{pmatrix} \). The adjugate of \( A \), denoted as \(\text{adj}(A)\), is the transpose of its cofactor matrix.
First, \(\text{adj}(A)\) is calculated as:
\(\text{adj}(A) = \begin{pmatrix} 1 & -2 \\ 0 & 1 \end{pmatrix}\)
Next, we compute \(\text{adj}(A)^2\):
\(\text{adj}(A)^2 = \begin{pmatrix} 1 & -2 \\ 0 & 1 \end{pmatrix} \begin{pmatrix} 1 & -2 \\ 0 & 1 \end{pmatrix} = \begin{pmatrix} 1 & -4 \\ 0 & 1 \end{pmatrix}\)
Subsequently, \(\text{adj}(A)^{10}\) is determined by continuing this pattern:
\(\text{adj}(A)^{10} = \begin{pmatrix} 1 & -20 \\ 0 & 1 \end{pmatrix}\)
The matrix \( B \) is the sum of the identity matrix and the powers of \(\text{adj}(A)\) up to the 10th power:
\(B = I + \text{adj}(A) + \text{adj}(A)^2 + \cdots + \text{adj}(A)^{10}\)
\(B = \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} + \begin{pmatrix} 1 & -2 \\ 0 & 1 \end{pmatrix} + \begin{pmatrix} 1 & -4 \\ 0 & 1 \end{pmatrix} + \cdots + \begin{pmatrix} 1 & -20 \\ 0 & 1 \end{pmatrix}\)
The resulting matrix \( B \) is:
\(B = \begin{pmatrix} 11 & -110 \\ 0 & 11 \end{pmatrix}\)
The sum of all elements in \( B \) is:
\(11 + (-110) + 11 = -88\)